Evidence map›Paper›PMID 39039182›Full record

ArticleScientific reports2024

Utilizing green finance to promote low-carbon transition of Chinese cities: insights from technological innovation and industrial structure adjustment.

Xiao-Qing Wu, Hong-Xing Wen, Pu-Yan Nie, Jing-Xin Gao

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xiao-Qing WuSchool of Business, Hunan Agricultural University, Changsha, 410125, China.
Hong-Xing WenSchool of Economics, Guangdong University of Finance and Economics, 21 Luntou Road, Guangzhou, 510320, China. hxwen2019@gdufe.edu.cn.
Pu-Yan NieSchool of Economics, Guangdong University of Finance and Economics, 21 Luntou Road, Guangzhou, 510320, China.
Jing-Xin GaoSchool of Economics, Guangdong University of Finance and Economics, 21 Luntou Road, Guangzhou, 510320, China.

Funding

Guangdong Office of Philosophy and Social Science GD23CYJ09Natural Science Foundation of Guangdong Province 2022A1515011903
6 · The paper itself

Abstract

Green finance (GF) has emerged as a promising tool to promote low-carbon development, while knowledge is rather limited regarding the underlying mechanism. This article aims to address this void by constructing a city-level GF index covering seven dimensions and identifying the main pathways through which GF can facilitate the low-carbon development of cities. Using a balanced panel data covering 277 Chinese cities from 2010 to 2020, the results show that: (1) China's GF development exhibits an overall spatial differentiation of 'high in the east and low in the west', while the distribution of carbon intensity (CI) displays an overall spatial differentiation of 'high in the north and low in the south'; (2) GF significantly decreases CI of cities, which is robust to employing DID strategies and IV estimations; (3) The role of GF on CI varies with the level of CI whereas not with the level of GF. Specifically, the mitigating effect of GF on CI is significant in both high GF and low GF groups, but only in high CI group; and (4) GF promotes low-carbon transition of cities through mainly on adjusting industrial structure rather than stimulating technological innovation. Despite we also demonstrate green finance enhances green innovation, due to multi-factors, such technology progress it brings may not always translate into a tangible improvement in green productivity. For most developing countries including China, the future policy objective of green finance should focus on enhancing sustainable technological progress.

Indexed as

Carbon intensityGreen financeGreen innovationIndustrial structure adjustmentLow-carbon transition

Identifiers

PMID39039182
PMCPMC11263683

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.